Cardiothoracic anaesthesia in the digital age: The application of artificial intelligence

Abstract

Author(s): Dilip Vijay, Sanjay Ashwamedh Kshirsagar, Amit Anand, Sheetal Panwar*, Sandeep Manne, Akshaya N Shetti

In the ever-evolving landscape of medical technology, the integration of artificial intelligence (AI) has emerged as a transformative force in various specialties, including anaesthesia. Cardiothoracic anaesthesia, a critical domain within cardiovascular medicine, stands to benefit significantly from AI's capabilities. This abstract delves into the burgeoning intersection of cardiothoracic anaesthesia and AI, exploring the manifold applications, challenges, and potential outcomes. AI's capacity to analyze complex data streams swiftly and accurately has paved the way for personalized patient care in the digital age. In the context of cardiothoracic anaesthesia, AI's potential spans preoperative risk assessment, intraoperative monitoring, and postoperative care optimization. Algorithms trained on extensive patient datasets can predict patient-specific responses to anaesthesia, aiding clinicians in tailoring interventions. Furthermore, real-time AI-driven monitoring systems can detect subtle changes in hemodynamic and oxygenation, enabling timely intervention and improving patient safety during surgery. However, this symbiotic relationship between AI and cardiothoracic anaesthesia faces challenges, including data privacy concerns, algorithm interpretability, and integration with existing healthcare systems. Ensuring that AI models are trained on diverse and representative datasets is essential to mitigate biases and promote equitable patient care

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